Welcome to your quick guide on leveraging the power of Torch-TensorRT! If you're looking to accelerate the inference latency of your PyTorch models, you're in the right place. This blog will walk you through the installation, quickstarts, and troubleshooting for...
Dynamic Coattention Network Plus for Question Answering
In the realm of natural language processing, systems capable of answering questions based on given passages are continually evolving. One of the most interesting approaches to this problem is the Dynamic Coattention Network Plus (DCN+). This blog walks you through how...
How to Fine-tune Pretrained Convolutional Neural Networks with PyTorch
In the realm of deep learning, fine-tuning pretrained models is like putting the finishing touches on a masterpiece. By leveraging powerful pretrained convolutional neural networks (CNNs), you can build sophisticated applications more efficiently. This guide will walk...
How to Use LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
Welcome to your quick-start guide on LightTrack, a versatile framework designed for high-performance human pose tracking in real time. Here’s how you can harness its capabilities for various applications, whether it be surveillance, sports analytics, or even enhancing...
How to Effectively Use TLlib for Transfer Learning
Transfer learning is an essential technique in machine learning, allowing us to utilize pre-trained models on new tasks. TLlib is an open-source library designed to facilitate transfer learning using PyTorch. This article provides a step-by-step guide to get you...
How to Get Started with Coqui STT
Welcome to the world of speech-to-text development! If you're looking for a fast, open-source solution for training and deploying speech-to-text models, Coqui STT is a worthy choice, despite it no longer being actively maintained. Let's dive into what you need to know...
Dive into Advanced Language Understanding with Advanced_RAG
Welcome to the exciting world of Retrieval-Augmented Generation (RAG)! In this article, we will take you on a guided tour of using the RAG framework through Python notebooks, specifically tailored for enhancing Large Language Models (LLMs) with rich, contextual...
How to Install and Use SUMO-RL for Traffic Signal Control
In the ever-evolving world of artificial intelligence, SUMO-RL stands out as a remarkable tool tailored for enhancing traffic signal control through Reinforcement Learning (RL). This guide will provide you with a user-friendly walkthrough of installing and...
How to Zoom in on RAW Data: A User-Friendly Guide to the Zoom to Learn Project
Welcome to the exciting world of digital photography and machine learning! Today, we’ll dive into the intricacies of the "Zoom to Learn, Learn to Zoom" project. This unique work demonstrates how employing real, RAW sensor data can enhance machine learning applications...